Jenkins Automation for EMR Cluster Management and Airflow Instance Deployment

Bharath Thandalam Rajasekaran; Prof.(Dr.) Arpit Jain

doi:10.36676/urr.v12.i1.1488

Authors

Bharath Thandalam Rajasekaran University of Maryland College Park, MD 20742, United States
Prof.(Dr.) Arpit Jain K L E F Deemed To Be University Green Fields, Vaddeswaram Andhra Pradesh 522302, India

DOI:

https://doi.org/10.36676/urr.v12.i1.1488

Keywords:

Jenkins, EMR, Automation, Airflow, CI/CD, Cloud Orchestration, Big Data Processing, Scalable Infrastructure, Workflow Management, DevOps

Abstract

This research presents a novel automation mechanism for Amazon EMR cluster management and Apache Airflow instance deployment with Jenkins. Leveraging the strong continuous integration and continuous delivery (CI/CD) capabilities of Jenkins, the system enables automation of provisioning, configuration, and management of scalable EMR clusters for big data processing. At the same time, it automates Airflow instance deployment to manage complex workflows and data pipelines. The integration not only minimizes human intervention but also enhances system reliability and operational efficiency through uniform configurations and prompt error reporting. This automation system is particularly designed to address the challenges of dynamic cloud environments such as resource provisioning, fault tolerance, and security compliance, thus ultimately providing organizations with a scalable, maintainable, and cost-effective solution for modern data orchestration and processing needs.

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